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Record W2961976848 · doi:10.5539/ijel.v9n4p307

Function of Sound Devices in the Construction of Metaphoric Meaning in Poetry

2019· article· en· W2961976848 on OpenAlexvenueno aff
Olga Vishnyakova, Elizaveta Aleksandrovna Vishnyakova, Natalia Viktorovna Sharyshova

Bibliographic record

VenueInternational Journal of English Linguistics · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryMeaning (existential)Context (archaeology)Interpretation (philosophy)ArbitrarinessLinguisticsRelation (database)PhilosophyLiteratureEpistemologyArtComputer scienceHistory

Abstract

fetched live from OpenAlex

This paper presents a study of the relation between the meaning of the words and their phonological features within the poetic context. The article presents a short overview of the existing theories and assumptions in the researched area. Special attention is given to the theory of the arbitrariness of signs and recent studies, suggesting this claim to be incomplete and subject to numerous exceptions. This research is aimed at finding the evidence of metaphorical use of sounds patterns in the poetry of Dylan Thomas. This paper presents a detailed analysis of four poems: “From Love’s First Fever to Her Plague”, “Light Breaks Where No Sun Shines”, “Especially When the October Wind” and “After the Funeral” with a few examples from other poems. The results of the analysis show that sound, being one of the most important elements of poetic texts, is able to obtain a specific semantic meaning of its own but is highly dependent on the context. Interpretation of sound patterns and their expressive potential is crucial for a comprehensive analysis of poetic texts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.744

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.297
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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Same venueInternational Journal of English LinguisticsSame topicLanguage, Metaphor, and CognitionFrench-language works237,207